The checkPrompt function was not properly validating prompts due to missing frontend_node parameter. The fix adds the frontend_node parameter to the function and passes it to the axios.post request.
🚀 feat(CodeAreaModal): replace UpdateTemplate function with postCustomComponent function to send custom component code to the server
The UpdateTemplate function was not being used and was removed. The postCustomComponent function was added to send custom component code to the server. The CodeAreaModal component was updated to use the new postCustomComponent function instead of the UpdateTemplate function to send custom component code to the server.
The config.yaml file has been updated to include new prompt templates. In types.py, the input_variables list was not being cleared when prompt or messages were present, which has been fixed. The instantiate_prompt function in loading.py has been updated to support the new prompt templates.
🔀 chore(config): add new prompt templates to config.yaml
🐛 fix(types.py): fix input_variables not being cleared when prompt or messages are present
The `AgentType` enum is added to the `langchain.agents.custom` module to improve readability and type safety. The `InitializeAgent` class now uses the `AgentType` enum to ensure that the `agent` parameter is a valid value from the enum.
🚀 feat(chat.py): use build_input_keys_response function to build input keys response
The build_input_keys_response function was extracted from the remove_api_keys function to improve code reusability. It builds the input keys response object, which contains the input keys and memory keys of a langchain object. The chat.py file now uses this function to build the input keys response object instead of building it manually. This improves code readability and reduces code duplication.
The prepare-commit-msg file is added to the .gitignore file to avoid pushing the Opencommit hook to the remote repository. This is done to prevent the hook from being executed on other machines and to avoid any issues that may arise from the hook being executed on different machines.
The commented out code was removed to improve code readability. Input validation was added to ensure that the template and input variables are valid before creating a PromptTemplate object. This helps to prevent errors that may occur when the object is created with invalid input.
🔒 chore(base.py): remove commented out code and add input validation for PromptTemplate
The stream_build function has been refactored to send input_keys to the client if the langchain_object has the attribute "input_keys". This change improves the user experience by providing the client with the necessary input keys to continue the conversation.
🔼 chore(pyproject.toml): bump package version to 0.2.1
The langchain dependency has been updated to version 0.0.215, which includes bug fixes and performance improvements. The package version has been bumped to 0.2.1 to reflect the changes made.
The import statement for the MidjourneyIcon was misspelled as MidjorneyIcon, which caused a runtime error. This commit fixes the typo by changing the import statement to MidjourneyIcon.
The import of Boxes and LayoutDashboard were removed as they were not being used in the file. New icons were added to nodeIconsLucide to improve the variety of icons available for use. The new icons added are MongoDBAtlasVectorSearch, Pinecone, and SupabaseVectorStore.
🔥 chore(utils.ts): remove unused import of Boxes and LayoutDashboard
The `update_settings` function now accepts a `cache` parameter that allows the user to specify the type of cache to use. The `cache` parameter is set to a default value of `SQLiteCache` and can be overridden by setting the `LANGCHAIN_CACHE` environment variable. This feature improves the flexibility of the application as it allows the user to choose the type of cache that best suits their needs.
The cache configuration option has been added to the settings file with a default value of "InMemoryCache". This allows the user to choose the cache implementation they want to use.
This commit adds support for configurable LLM caching. The `setup_llm_caching` function now imports the cache class from the `langchain.cache` module based on the `settings.cache` value. If the import is successful, the `langchain.llm_cache` is set to an instance of the cache class. If the import fails, a warning is logged. If an exception is raised during the setup, a warning is logged with the error message.
✨ feat(main.py): call setup_llm_caching function on app startup
The `setup_llm_caching` function is added to `utils.py` to set up LLM
caching. The function is then called on app startup in `main.py` using
the `app.on_event("startup")` method. This improves the performance of
the application by caching LLM objects.
✨ feat(main.py): call setup_llm_caching function on app startup
The `setup_llm_caching` function is added to `utils.py` to set up LLM caching. The function is then called on app startup in `main.py` using the `app.on_event("startup")` method. This improves the performance of the application by caching LLM objects.
The version number has been updated from 0.1.7 to 0.2.0 to reflect the changes made to the package. This is a chore commit as it does not add any new features or fix any bugs, but rather updates the version number.
🎨 style(GenericNode): change nodeIcons import to nodeIconsLucide to
match the new icon library
🎨 style(NodeModal): change Icon type to any to fix type error
🎨 style(chatInput): remove unnecessary array brackets
🎨 style(DisclosureComponent): change Icon size to 22 to match the new
icon library
🎨 style(extraSidebarComponent): change nodeIcons import to
nodeIconsLucide to match the new icon library and add Search icon
🎨 style(components/index): add SVGProps to import and change Icon type
to any to fix type error
✨ feat(utils.ts): add support for Lucide icons to be used in the app to
improve UI and UX.
feat(tabsContext.tsx): add support for display_name property in node templates to allow custom node names
fix(tabsContext.tsx): add null checks to prevent errors when processing flow edges and nodes
refactor(typesContext/index.ts): change template object type to APIClassType to match usage in tabsContext
